Comparison of Different Lossy Image Compression Techniques

Abstract

Recently, the use of large volumes of image data in many applications like internet has been increasing rapidly. So, to make an effective use of storage space and also bandwidth of the network, image compression is required. We have two kinds of image compression - one is lossy and other is lossless image compression. Lossy image compression produces a compressed image where quality of the image is maintained with some data loss. Lossy compression is widely used compared to lossless compression. Here, three lossy image compression techniques - Discrete Cosine Transform(DCT), Singular Value Decomposition (SVD) and Discrete Wavelet Transform(DWT) are used to perform image compression. These techniques are compared using some performance measures such as Peak Signal-to- Noise Ratio(PSNR), Compression Ratio(CR), Structural Similarity Index Measure(SSIM) and Mean Square Error(MSE).